AI Foundry, Anthropic Cloud-Gen AI

Tata Consultancy Services; Chennai District; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services in India seeks an experienced Azure AI Engineer with 8+ years to design, develop, and deploy enterprise-grade AI/ML and Generative AI solutions. You will leverage Azure AI services, Databricks, and Foundry to build scalable, secure production systems and collaborate with stakeholders.

Responsibilities include building and deploying AI/ML solutions, integrating LLM-based apps, implementing governance, monitoring, and CI/CD with DevOps for ML deployments; strong Python /

Qualifications

• 8+ years of IT experience with at least 3+ years in AI/ML or Generative AI.
• Strong problem-solving and analytical skills.
• Experience designing, developing, and deploying enterprise-grade AI/ML solutions.

Responsibilities

• Design and implement AI/ML solutions using Azure AI Services, Azure OpenAI, and Azure Machine Learning.
• Develop and deploy Generative AI applications leveraging Azure AI Foundry.
• Integrate LLM-based applications using APIs, vector databases, and retrieval-augmented generation (RAG) patterns.
• Collaborate with business stakeholders to translate business requirements into AI-driven solutions.
• Implement model monitoring, governance, and responsible AI practices.
• Ensure high availability, scalability, cost optimization, and security of AI platforms.
• Work closely with DevOps teams to implement CI/CD pipelines for ML deployments.

Skills

Python

C#.NET

REST APIs

Microservices

Azure AI Services

Azure OpenAI

LLMs / prompt engineering

Vector databases

DevOps for ML

MLflow

Tools

Azure Databricks

Azure DevOps

LangChain

Semantic Kernel

MLflow

Azure AI Foundry

Job description

We are seeking an experienced Azure AI Engineer with 8+ years of experience to design, develop, and deploy enterprise-grade AI/ML and Generative AI solutions. The ideal candidate should have strong expertise in Azure AI services, Azure Databricks, and Azure AI Foundry, with hands-on experience in building scalable, secure, and production-ready AI systems.

Key Responsibilities:

• Design and implement AI/ML solutions using Azure AI Services, Azure OpenAI, and Azure Machine Learning.
• Develop and deploy Generative AI applications leveraging Azure AI Foundry.
• Integrate LLM-based applications using APIs, vector databases, and retrieval-augmented generation (RAG) patterns.
• Collaborate with business stakeholders to translate business requirements into AI-driven solutions.
• Implement model monitoring, governance, and responsible AI practices.
• Ensure high availability, scalability, cost optimization, and security of AI platforms.
• Work closely with DevOps teams to implement CI/CD pipelines for ML deployments.

Technical Skills:

• Strong programming skills in Python / .NET
• Experience with REST APIs and microservices architecture
• Knowledge of LLMs, prompt engineering, embeddings, and vector databases
• Understanding of cloud security, IAM, and governance in Azure

Good to Have:

• Experience with MLOps tools (MLflow, Azure DevOps)
• Knowledge of LangChain, Semantic Kernel, or similar frameworks
• Certifications in Azure AI or Azure Data

Experience & Qualifications:

• 8+ years of overall IT experience with at least 3+ years in AI/ML or Generative AI
• Strong problem-solving and analytical skills

Good to have: AI certification (to be shared) / Azure certifications